Internet-Worker AI Transformation Skills Course: Accessible AI for Everyone

Course Overview: Business Opportunities and Applications in the AI Era

引言
1. Explore the "new opportunities" in the AI era and gain an in-depth understanding of why AI is hailed as a once-in-a-century "new opportunity."
2. Analyze business transformation and new track opportunities in the AI era, revealing career changes and the competency requirements for AI product managers.

Chapter 1: Fundamental Understanding of AI and Application Scenarios
1. Understand key AI concepts and deeply analyze the foundational role of data, algorithms, and computing power in AI.
2. Discuss machine learning principles, applications, and algorithms, and introduce deep learning algorithms such as computer vision and natural language processing.
3. The definition, application scenarios, and construction methods of knowledge graphs, as well as the applications of computer vision (CV) and convolutional neural networks (CNN).

Chapter 2: Project Closed-Loop Capabilities and AI Project Implementation
1. Key steps for independently leading AI projects from 0 to 1, and the core PM workflow and value.
2. Identify business needs from 0 to 1, empowering business development with AI.
3. Key dimensions of pre-implementation demand assessment for AI products, as well as product solution output and product PRD.
4. Key methods for AI model evaluation and product implementation decisions, AI product business value data analysis and evaluation, and A/B testing.

Chapter 3: Project Practice and Application
1. Growth strategy projects applying AI algorithms to one's own business, exploring user value stratification and the K-means algorithm.
2. Application of user repurchase prediction and decision tree models, intelligent marketing budget setting, and linear regression models.
3. Application of e-commerce personalized recommendation systems and collaborative filtering in C-end projects.

Compilation of continuously updated live-stream knowledge point replays
1. Share product characteristics in the AI era, how AI changes core industry costs, and the essential differences between AI features and software features.
2. Discuss the impact of the AI wave on human work, AI track segmentation and entry points for traditional product managers, and differences in product design across different job levels.
3. Explore the analysis and segmentation of the smart healthcare track, the essence of product design, and the implementation of CRM lead intelligent assignment projects.

Conclusion
This course will help learners gain an in-depth understanding of business opportunities and application prospects in the AI era, and enhance their personal career competitiveness.